SEMINAR PRESENTATIONON

BRAIN COMPUTER INTERFACE

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INTRODUCTION

ABOUT BRAIN COMPUTER INTERFACING

HUMAN BRAIN ELECTROCEPHALOGRAPHY(EEG)RHYTHMIC BRAIN ACTIVITYERD ERS

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A PATH TOWARDS BCI

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TWO DIFFERENT BCI

APPROACHES

PATTERN RECOGNITION APPROACH

OPERANT CONDITIONNING APPROACH

MEASURING EEG

ELECTRODESELECTRODE PLACEMENTBCI COMPONENTSFEEDBACK

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11,SEPT'2003 PADHYAR PARESHCHANDRA M.

BCI COMPONENTS

Measurement of EEG. Preprocessing. Feature Extraction. Classification. Device Control.

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BCI PERFORMANCE ANDCATEGORIZING BCI

Invasive and Non-Invasive BCI.

Synchronous and Asynchronous.

Universal and Individual BCI.

Online BCI.

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The Adaptive Brain Interface (ABI)

Overview of the system

Key Components

Training

Applications

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Summary and discussion

Accuracy

Speed

Usability

Feedback

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ABI SYSTEM HARDWARE

SOFTWARE

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SOFTWARE EEP H11 Server,

ABI Learning program,

ABI online program.

HARDWARE EEG Device.

Battery and Charger.

Electrode Cap.

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ConclusionBCI allows people suffering from paralysis to express themselves.

Prerequisites.

Different BCI approaches.

Adaptive Brain Interface(ABI).

Bibliography

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[1] Brendan Allison. Brain computer interface systems. http://bci.ucsd.edu/, 1999.

[2] Niels Birbaumer et al. The thought translation device (ttd) for completely paralyzed patients. IEEE Transactions on Rehabilitation Engineering, 8(2):190–193, 2000.

[3] Niels Birbaumer et al. Communication in paralysis and neurological disease.http://www.uni-tuebingen.de/uni/tci/projekte/als.htm, 2001.

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any

QUESTIONS?

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